title: Blockade of neuronal α7-nAChR by α-conotoxin ImI explained by computational scanning and energy calculations.
abstract: α-Conotoxins potently inhibit isoforms of nicotinic acetylcholine receptors (nAChRs), which are essential for neuronal and neuromuscular transmission. They are also used as neurochemical tools to study nAChR physiology and are being evaluated as drug leads to treat various neuronal disorders. A number of experimental studies have been performed to investigate the structure-activity relationships of conotoxin/nAChR complexes. However, the structural determinants of their binding interactions are still ambiguous in the absence of experimental structures of conotoxin-receptor complexes. In this study, the binding modes of α-conotoxin ImI to the α7-nAChR, currently the best-studied system experimentally, were investigated using comparative modeling and molecular dynamics simulations. The structures of more than 30 single point mutants of either the conotoxin or the receptor were modeled and analyzed. The models were used to explain qualitatively the change of affinities measured experimentally, including some nAChR positions located outside the binding site. Mutational energies were calculated using different methods that combine a conformational refinement procedure (minimization with a distance dependent dielectric constant or explicit water, or molecular dynamics using five restraint strategies) and a binding energy function (MM-GB/SA or MM-PB/SA). The protocol using explicit water energy minimization and MM-GB/SA gave the best correlations with experimental binding affinities, with an R2 value of 0.74. The van der Waals and non-polar desolvation components were found to be the main driving force for binding of the conotoxin to the nAChR. The electrostatic component was responsible for the selectivity of the various ImI mutants. Overall, this study provides novel insights into the binding mechanism of α-conotoxins to nAChRs and the methodological developments reported here open avenues for computational scanning studies of a rapidly expanding range of wild-type and chemically modified α-conotoxins.
authors.affiliation: Division of Chemistry and Structural Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.
authors.forename: Rilei
authors.initials: R
authors.lastname: Yu
authors.forename: David J
authors.initials: DJ
authors.lastname: Craik
authors.forename: Quentin
authors.initials: Q
authors.lastname: Kaas
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D001048:Aplysia; D001059:Apoproteins / Q000737:chemistry / Q000378:metabolism; D020916:Conotoxins / Q000737:chemistry / Q000378:metabolism* / Q000494:pharmacology; D006801:Humans; D051379:Mice; D008958:Models, Molecular; D008969:Molecular Sequence Data; D017354:Point Mutation; D011485:Protein Binding; D055550:Protein Stability; D011978:Receptors, Nicotinic / Q000737:chemistry / Q000378:metabolism*; D016415:Sequence Alignment; D049490:Systems Biology / Q000379:methods*; D013816:Thermodynamics; D064569:alpha7 Nicotinic Acetylcholine Receptor
chemical_list: D001059:Apoproteins; C579167:Chrna7 protein, human; C579166:Chrna7 protein, mouse; D020916:Conotoxins; D011978:Receptors, Nicotinic; D064569:alpha7 Nicotinic Acetylcholine Receptor; C087686:alpha-conotoxin ImI